ez_azml.ml_client.EzMLClient

class ez_azml.ml_client.EzMLClient(credential: TokenCredential | None = None, subscription_id: str | None = None, resource_group_name: str | None = None, workspace_name: str | None = None, **kwargs: Any)

Bases: MLClient

A easy client class to interact with Azure ML services.

Parameters:

credential – The credential to use for authentication. Defaults to DefaultAzureCredential()
subscription_id – The Azure subscription ID. Defaults to env AZURE_SUBSCRIPTION_ID.
resource_group_name – The Azure resource group. Defaults to env AZURE_RESOURCE_GROUP_NAME.
workspace_name – The workspace to use in the client. Defaults to env AZURE_WORKSPACE.

__init__(credential: TokenCredential | None = None, subscription_id: str | None = None, resource_group_name: str | None = None, workspace_name: str | None = None, **kwargs: Any) → None

Methods

`__init__`([credential, subscription_id, ...])
`begin_create_or_update`(entity, **kwargs)	Creates or updates an Azure ML resource asynchronously.
`create_or_update`(entity, **kwargs)	Creates or updates an Azure ML resource.
`from_config`(credential, *[, path, file_name])	Returns a client from an existing Azure Machine Learning Workspace using a file configuration.

Attributes

`R`
`T`
`azure_openai_deployments`	//aka.ms/azuremlexperimental for more information.
`batch_deployments`	A collection of batch deployment related operations.
`batch_endpoints`	A collection of batch endpoint related operations.
`components`	A collection of component related operations.
`compute`	A collection of compute related operations.
`connections`	//aka.ms/azuremlexperimental for more information.
`data`	A collection of data related operations.
`datastores`	A collection of datastore related operations.
`environments`	A collection of environment related operations.
`evaluators`	//aka.ms/azuremlexperimental for more information.
`feature_sets`	A collection of feature set related operations.
`feature_store_entities`	A collection of feature store entity related operations.
`feature_stores`	A collection of feature store related operations.
`indexes`	//aka.ms/azuremlexperimental for more information.
`jobs`	A collection of job related operations.
`marketplace_subscriptions`	//aka.ms/azuremlexperimental for more information.
`models`	A collection of model related operations.
`online_deployments`	A collection of online deployment related operations.
`online_endpoints`	A collection of online endpoint related operations.
`registries`	A collection of registry-related operations.
`resource_group_name`	Get the resource group name of an MLClient object.
`schedules`	A collection of schedule related operations.
`serverless_endpoints`	//aka.ms/azuremlexperimental for more information.
`subscription_id`	Get the subscription ID of an MLClient object.
`workspace_name`	The name of the workspace where workspace-dependent operations will be executed.
`workspace_outbound_rules`	A collection of workspace outbound rule related operations.
`workspaces`	A collection of workspace-related operations.